TY - GEN
T1 - Establishing Key Performance Indicators for Measuring Software-Development Processes at a Large Organization
AU - Sürücü, Cem
AU - Song, Bianying
AU - Krüger, Jacob
AU - Saake, Gunter
AU - Leich, Thomas
PY - 2020/11/8
Y1 - 2020/11/8
N2 - Developing software systems in large organizations requires the cooperation of various organizational units and stakeholders. As software-development processes are distributed among such organizational units; and are constantly transformed to fulfill new domain regulations, address changing customer requirements, or adopt new software-engineering methods; it is challenging to ensure, measure, and steer—essentially monitor—the quality of the resulting systems. One means to facilitate such monitoring throughout whole software-development processes are key performance indicators, which provide a consolidated analysis of an organizations’ performance. However, it is also challenging to introduce key performance indicators for the software development of a large organization, as they must be implemented at and accepted by all relevant organizational units. In this paper, we report our experiences of introducing new key performance indicators for software-development processes at Volkswagen Financial Services AG, a large organization in the financial sector. We describe i) our methodology; ii) how we customized and use key performance indicators; iii) benefits achieved, namely improved monitoring and comparability, which help to define quality-improving actions; iv) and six lessons learned. These insights are helpful for other practitioners, providing an overview of a methodology they can adopt to assess the feasibility of key performance indicators as well as their benefits. Moreover, we hope to motivate research to investigate methods for introducing and monitoring key performance indicators to facilitate their adoption.
AB - Developing software systems in large organizations requires the cooperation of various organizational units and stakeholders. As software-development processes are distributed among such organizational units; and are constantly transformed to fulfill new domain regulations, address changing customer requirements, or adopt new software-engineering methods; it is challenging to ensure, measure, and steer—essentially monitor—the quality of the resulting systems. One means to facilitate such monitoring throughout whole software-development processes are key performance indicators, which provide a consolidated analysis of an organizations’ performance. However, it is also challenging to introduce key performance indicators for the software development of a large organization, as they must be implemented at and accepted by all relevant organizational units. In this paper, we report our experiences of introducing new key performance indicators for software-development processes at Volkswagen Financial Services AG, a large organization in the financial sector. We describe i) our methodology; ii) how we customized and use key performance indicators; iii) benefits achieved, namely improved monitoring and comparability, which help to define quality-improving actions; iv) and six lessons learned. These insights are helpful for other practitioners, providing an overview of a methodology they can adopt to assess the feasibility of key performance indicators as well as their benefits. Moreover, we hope to motivate research to investigate methods for introducing and monitoring key performance indicators to facilitate their adoption.
KW - Key Performance Indicators
KW - Quality Assurance
KW - Monitoring
KW - Quality assurance
KW - Key performance indicators
UR - https://www.scopus.com/pages/publications/85097130097
U2 - 10.1145/3368089.3417057
DO - 10.1145/3368089.3417057
M3 - Conference contribution
SP - 1331
EP - 1341
BT - ESEC/FSE 2020
PB - Association for Computing Machinery, Inc.
ER -